March 17, 2025 • 35 mins
-
Introduction and Setting:
- The podcast is recorded at the White House with Elon Musk as a special guest.
- Ted Cruz and Ben Ferguson introduce the episode and highlight Musk's significant impact in the first fifty days of the new administration.
-
Federal Government and Waste:
- Musk discusses the inefficiencies and waste he found in the federal government compared to Twitter.
- Examples include excessive software licenses, unused media subscriptions, and an overabundance of government credit cards.
- Musk estimates an 80% waste to 20% fraud ratio in government expenditures.
-
Specific Examples of Waste:
- Instances of payments without proper coding or explanation.
- Contracts that were supposed to be terminated but continued to receive payments.
- The case of $1.9 billion given to Stacey Abrams' nonprofit for environmentally friendly appliances, which Musk criticizes as corrupt.
-
Government Computers and Payments:
- Musk emphasizes the importance of understanding government computer systems to identify waste and fraud.
- He mentions "magic money computers" that issue payments without proper oversight.
- Musk's goal is to save a trillion dollars in waste and fraud by FY26.
-
Public Perception and Political Impact:
- Discussion on Musk's shift from being a hero to the left to being heavily criticized.
- The impact of Musk's actions on entitlements fraud and the political landscape.
- Musk's belief that fraudulent payments of entitlements are a significant issue.
-
AI and Future Technology:
- Musk predicts that AI will surpass human intelligence within ten years.
- The potential for humanoid robots and autonomous vehicles to become commonplace.
- Concerns about the apocalyptic potential of AI and the importance of the U.S. winning the AI race against China.
-
Personal Reflections and Legacy:
- Musk's thoughts on his legacy, particularly his contributions to space exploration.
- Reflections on his interactions with other CEOs and influential figures.
- Musk's views on popular culture, including Star Wars and Star Trek
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Transcript
Episode Transcript
Available transcripts are automatically generated. Complete accuracy is not guaranteed.
Speaker 1 (00:01):
Today is a very special day as we are doing
part one of our two part conversation at the White
House with Elon musk Now. Elon is going to break
news during today and Wednesday's show on Doge and some credible,
shocking information about corruption within our government. I want to
(00:22):
make sure you hit that subscribe button, that auto download
button right now so you do not miss part two
on Wednesday. Also, please help this go viral as we're
exposing government waste by sharing this episode on any social
media platform that you are on. But before we get
to that, after more than a year of war, tear
(00:44):
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(01:42):
eight eight IFCJ. That's eight eight eight four eight eight
IFCJ eight and eight four eight eight four three two
five or support IFCJ dot org. Here is part one
of our sit down conversation at the White House with
Elon Musk.
Speaker 3 (01:59):
Well, we're in the White House US what right now?
And we're here with my friend Elon Musk, who really
has not been doing much of anything, has not made
any news is and nobody has noticed. Yeah, the impact
welcome Elon. Holy crap ah, yes wow. Let me just say,
never a dull moment.
Speaker 2 (02:18):
Never a dull moment.
Speaker 3 (02:19):
The first fifty days the president has spent in office
over the top, and the first fifty days you've spent.
I don't think there's ever been anyone to have an
impact the way you have at the beginning let me
start with a question. You know a lot about which
was worse the mess you found at Twitter or the
mess you found in the federal government.
Speaker 4 (02:40):
Well, it's hard to compete with the federal government.
Speaker 3 (02:43):
What's surprised you about the federal government? I assume you
came in and assumed it was bad. Is it worse
than you expected?
Speaker 5 (02:50):
It is worse than I expected. But on the plus side,
that means there's more opportunity for improvement. So look, if
you look on the right side, there's actually a lot
of opportunity for improvement in federal government expenditures because it's
so bad.
Speaker 4 (03:05):
If I was a well run ship, it would be
very difficult to improve.
Speaker 5 (03:08):
So like, but so now it's like people say, well,
how how do you figure out how to save money
in the federal government. Well, it's like being in a
room where the walls, the roof, and the floor are
old targets any direction and you're your kindness, Wow, yeah,
I'm sure you would agree.
Speaker 2 (03:25):
So a lot of folks have talked about like, like.
Speaker 4 (03:28):
You can't right, this is going to any direction.
Speaker 3 (03:33):
A lot of the crazy expenditures, things like like two
million bucks for sex change surgeries in Guatemala an essential,
you know, transgendered mice and and sesame street in Iraq.
A lot of that has gotten attention. But some of
the stuff you've told me about, like tell us about
computer licenses and government agencies.
Speaker 5 (03:53):
Yeah, so most of what notes just finding. You don't
need to be shoock comes. Okay, it's very obvious basic stuff.
So in every government department, I say every because we've
not yet found a single exception. There are far too
many software licenses and media subscriptions, meaning many more software
licenses and media subscriptions than there are humans in the department.
Speaker 3 (04:17):
Like you were saying, like an agency with fifteen thousand
people might have thirty thousand licenses. Yes, and even of
the fifteen thousand employees, a good chunk of them hadn't
used the license, had never logged on or used the application.
Speaker 5 (04:30):
Yes, we found entire situations of software licenses or media
subscriptions where there were zero logins.
Speaker 2 (04:39):
So it had and yet we were paying for it.
Speaker 5 (04:41):
Yes, the governor's paying for thousands of licenses of software
or media subscriptions and no one had ever logged in
even once.
Speaker 2 (04:48):
Or credit cards. You found the same thing with government credit.
Speaker 5 (04:51):
Cards we found that there are twice as many credit
cards as there are humans, and I still don't have
a good explanation for why this is the case. And
these are ten thousand dollars limit cards, so it's a
lot of money.
Speaker 1 (05:04):
Is it incompetent that you're finding or is this like
the biggest money laundering scheme in the history of the
world that you're finding.
Speaker 5 (05:11):
Okay, I think it's mostly If you say, look, what's
the waste to fraud ratio, Yeah, in my opinion, it's
it's like eighty percent wist twenty percent fraud.
Speaker 4 (05:21):
But you do have these sort of gray areas.
Speaker 5 (05:25):
For example, example, be so, uh, we saw a lot
of payments going out of treasury that had no payment
code and no explanation for the payment, and then we're
we're we're trying to figure out what that payment is
and we'd see that Okay, that contract was supposed to
be shut off, but but someone forgot to shut off
(05:45):
that that contract and so the company kept getting money.
Speaker 4 (05:49):
Wow. Now is that waste or fraud both both?
Speaker 1 (05:54):
Yeah, you're not.
Speaker 5 (05:57):
Supposed to get you're not supposed to get it. You
but the government sent it to you, and nobody from
the government asked for it back. Take for example, the
one the one point nine billion dollars given to Stacy Abrams. Yeah,
fake NGO, utter insanity, explain the story.
Speaker 3 (06:13):
That's that's just corrupt. I think that's paying off cronies
at that point.
Speaker 4 (06:19):
Yeah. Yeah.
Speaker 3 (06:20):
And by the way, she knew, like when you get
two billion dollars, you don't miss that that's not on.
Speaker 5 (06:24):
Accident that allegedly it was for like, uh, you know,
environmentally friendly appliances or something. And they've given like like
one hundred appliances so far for two billion dollars. It's
very expensive toast, that's fridge.
Speaker 4 (06:40):
It's nice.
Speaker 5 (06:41):
Is it's just obviously one of the biggest scam portholes
we've uncovered, which is really crazy, is uh? Is that
is that the government can give money to a so
called nonprofit with with very few controls and then that
and there's there's no auditing subsequently of that nonprofit, so
there's no So this is where with the you know,
(07:03):
one point nine billion Stacey Arams, who's who's that they
didn't give themselves extremely lavished like insane salaries, expense everything yep,
to the to the nonprofit, you know, buy jets and
homes and all sorts of things.
Speaker 2 (07:17):
Live like kings and queens. Yes on the taxpayer, dont correct.
Speaker 4 (07:20):
You mentioned this is happening at scale. It's not just
one or two. We're seeing this everywhere.
Speaker 3 (07:25):
Now, one of the things you told me about is
it is what you call say magic money computers. Well,
so tell us about it, because I never heard of
that until you brought that up.
Speaker 5 (07:35):
Okay, So you may think that these the government computers
like all talk to each other, they synchronize, they add
up what funds are going somewhere, and it's you know,
it's coherent that that that the you know, there's and
that and that. The numbers for example, that you're presented
as a senator, Yeah, are actually the real numbers.
Speaker 4 (07:56):
And one would think, well, I would think they're not. Okay.
Speaker 5 (07:59):
I mean, they're not totally wrong, but they're probably off
by five percent or ten percent in some cases. So
I call it magic my computer. Any computer which can
just make money out of thin air best magic money.
Speaker 2 (08:13):
So how does that work?
Speaker 4 (08:14):
It just issues payments.
Speaker 2 (08:16):
And you said to.
Speaker 3 (08:17):
Something like eleven of these computers a treasury that are
that are sending out trillions in payments they're.
Speaker 5 (08:22):
Mostly a treasury, some are with the sum at HHS,
some at there's one one of two states. There's summit
at DoD. I think we found now fourteen magic money computers.
Speaker 2 (08:37):
Gene.
Speaker 4 (08:37):
Okay, they just send money out of nothing.
Speaker 3 (08:40):
You have an ability to see where leverage points are
and how things actually happen. So I remember back I
think it was September October of this year, before the election.
We didn't know who was going to win, and I
was at your house in Austin. We were talking about it,
and you said, you said, look, I don't want a
job in washing to any You said, all I want
(09:01):
is the log in.
Speaker 2 (09:01):
For every computer.
Speaker 3 (09:03):
And I remember thinking at the time that sounded kind
of weird, like I just didn't get it, And I
have to say, what's interesting on this? If I would
have thought like, okay, how do you reform government? Like
sort of the traditional way to think about it is, okay,
give me an ORC chart, let me sit down with
the people who are running agencies. And what you saw
immediately is to understand what's really going on. Get to
(09:26):
the payment systems, get to the computers.
Speaker 4 (09:28):
Yeah, Like.
Speaker 3 (09:32):
Why is getting to the computers so critical to understanding
what's actually happening.
Speaker 5 (09:38):
Well, the government is run by computers, So you've got
essentially several hundred computers that effectively run the government.
Speaker 4 (09:46):
And if you want to know, did you know that
ben No?
Speaker 5 (09:49):
Like, yeah, So when somebody, like even when the present
issues an executive order, that's going to go through a
whole bunch of people and ultimately it is implemented at
a computer somewhere. And if you want to know what
what the situation is with the accounting and you're trying
to reconcile accounting and get rid of waste and fraud,
you must be able to analyze the computer databases. Otherwise
you can't figure it out because all you're doing is
(10:10):
asking a human who will then ask another human, ask
another human, and finally usually ask some contractor will ask
another contractor to your query under computer.
Speaker 4 (10:20):
Wow, that's how it actually works.
Speaker 5 (10:22):
So it's many layers deep. So the only way to
reconcile the databases and get rid of waste and fraud
is to to actually look at the computers and see
what's going on. So that's what I call you. That's like,
that's why when I sort of cryptically referred to reprogramming
the matrix. You have to understand what's going on the computers.
(10:43):
You have to reconcile the computer databases in order to
identify the waste and fraud.
Speaker 3 (10:47):
I don't know that there was anyone in Congress who understood,
certainly myself included, who understood the leverage that comes from
the computer and the data in particul killer that Congress
would think about give me a report on what your
expenditures are rather than actually getting into the pipes. And
I think that has been fascinating that it's let you
(11:10):
uncover a bunch of craft that just nobody knew.
Speaker 5 (11:14):
Yes, I mean, in order for money to go to
a van account, it's it's not like we're sending truckloads
of cash all over the place where it's a we're
wiring money right, We're sending money through the ACH system
or through the Swift system. So in order for money
to flow, it's going to flow electronically. So that's that's
what you need to look at. You need to look
at the actual electronic money flows.
Speaker 3 (11:34):
And Tesla and all your companies you have accounting and
you have every expenditure, you have it coded for what
it's going for federal government doesn't work that way.
Speaker 2 (11:41):
They don't code what the money is going for. They
do not, but they didn't.
Speaker 4 (11:44):
They didn't.
Speaker 3 (11:46):
And like one of the things that that you told me,
you said, if any company kept its books the way
the federal government does, they'd arrest the officers and put.
Speaker 2 (11:54):
Them in jail.
Speaker 5 (11:54):
Yes, if it was a poly company would be dealisted immediately,
it would fail, it's ordered, and the office as the
company would be in prisoned. That's the level of enough
business in the middle.
Speaker 1 (12:04):
Unfortunately, it's deliberately or do you think this is a
confidence again.
Speaker 5 (12:09):
It's eighty percent, it's eighty percent in competence or in
twenty percent malice.
Speaker 1 (12:15):
So if you look at if you look at DOGE
now and you look at the government and what you're finding,
what percentage have you guys even gotten to And how
much of it is mars where you haven't even gotten
there yet because there's so much you're finding out here,
I mean, how many you seem like a timeline guy
when you say, all right, I want to get in
there and get all these you know, numbers and things.
(12:37):
How far are we from the end game where you've
seen it all been able to process it all and
fix it. I mean are we years away, months away.
Speaker 5 (12:47):
Not yours, I mean reasonably confident that we'll be able
to get a trillion dollars of waste and forward out,
and that that meaning that it will have we'll have
a net savings in f I twenty six, which starts
in October.
Speaker 4 (13:06):
Obviously of a trillion dollars provider.
Speaker 5 (13:10):
We're allowed to we're allowed to continue, and we and
our progress is not impeded.
Speaker 4 (13:13):
And we're very public about what we do.
Speaker 2 (13:15):
Yeah, put it off on the website.
Speaker 4 (13:18):
How we could be more transparent?
Speaker 5 (13:20):
Literally, everything action we do, small or large, we put
on the dose dot dot gov website and we post
on the x handle. And when people complain about it
and they say, oh, you're doing something on costumes, I'm like, well,
which of these costs in the daylight.
Speaker 2 (13:35):
Everyone knows exactly what you're doing.
Speaker 4 (13:36):
Extreme transparent.
Speaker 5 (13:38):
Yeah, I don't think it's anything's been this transparent ever.
Speaker 3 (13:42):
So five years ago you were a hero to the left,
you cool, you had electric cars, you had space, And
in five years you've got.
Speaker 4 (13:51):
To go to a party in Hollywood and not get
doddy looks. Yeah in fact, yeah.
Speaker 2 (13:56):
And now you might not even get invited. I think
it's really invited, but I don't know if I go.
Speaker 3 (14:01):
And I don't think it's an exaggeration to say today,
after Donald Trump, the left hates you more than a
person on earth.
Speaker 5 (14:10):
Yes, I appear to be number two. I mean, if
you're judged by the various signs.
Speaker 3 (14:15):
They extrangements, it's Trump de arrangement syndrome and Elon derangement syndrome.
Speaker 2 (14:20):
How is that for you?
Speaker 3 (14:21):
That's a little bit of whiplash of going from being
like mister cool to the devil incarnate in just a
couple of years. Is that is that kind of weird
to experience that transformation?
Speaker 4 (14:31):
Yes?
Speaker 2 (14:32):
Why do they hate you so much?
Speaker 5 (14:34):
Well, because we're we're clearly over the target if those
was ineffective, if we were not actually getting rid of
a bunch of waste and forward and a bunch of
that fraud. I mean, the ford reason we're seeing is
overwhelmingly on the on the left. I mean, it's not
zero on the right, but these angos are almost all
(14:56):
left wing NGOs that are being funded for example. Yep,
So they hate me because dog is being effective and
Doge is getting rid of a lot of waste for
that they were that people and left were taking advantage
of that. That's that's that's what it comes out to you.
And and the single biggest thing that they're that they're
(15:16):
worried about is that doge is is going to turn
off fraudulent payments of entitlements. I mean everything from Social Security, Medicare, uh,
you know, unemployment, disability, smallpers administ registration loans, turn them
off to illegals.
Speaker 4 (15:36):
This is that crux of the matter.
Speaker 5 (15:38):
Yeah, okay, this is this is the this is the
thing that why they really hit my guts, want me
to die.
Speaker 3 (15:44):
And do you think that's billions? Hundreds of billions? What
do you think the scale is of that?
Speaker 5 (15:49):
I think across the country it's it's in the it's
well north of one hundred billion, maybe two hundred billion.
Speaker 4 (15:55):
So uh.
Speaker 5 (15:57):
By by using entitlements fraud, the Democrats have been able
to attract and retain vast numbers of illegal immigrants and
buy voters, and buy voters exactly the It basically bring
in ten twenty million people who are beholden to the
(16:17):
Democrats for government handouts and will vote overwhelming the Democrat
as has been demonstrated in California. This is it's an
election strategy. Yes, it's powered, Yes, and it doesn't take
much to turn the swing states blue. I mean off
in a swing state yet be won by ten twenty
thousand votes. Sure, so if the DAMS can bring in
two hundred thousand illegals and over time get them legal legalized,
(16:41):
not counting any cheating that takes place, because there is
some cheating, but even without cheating, if you bake, if
you have, if you bring in illegals that are ten
x the voted differential in a swing state, it will
no longer be a swing state, right, and the DAMS
will win all the swing states just a matter of time,
and America will be permanent deep blue socialist state. Were
(17:05):
at the House, the Senate, YEP, the Presidency, and the Supreme.
Speaker 4 (17:09):
Court will all go hardcore down.
Speaker 5 (17:12):
They will then further cement that by bringing even more
aliens so you can't vote your way out of it.
Their objement is to make it one party socialist state,
and it will be much worse than California, because at
least California is mitigated by the fact that someone can
leave California.
Speaker 2 (17:27):
You can go to Texas.
Speaker 5 (17:27):
Yeah, exactly, you're going to make everywhere California but worse.
Speaker 3 (17:32):
By the way, the middle of the pandemic, I spent
forty five minutes on the phone with Elon.
Speaker 2 (17:36):
He was still in California.
Speaker 3 (17:37):
I was walking my dog's snowflake and trying to convince
you come to Texas. The commis in California can't stand you.
We love you, we want you here. And you didn't
quite go then, but you went not that long afterwards.
Speaker 5 (17:50):
I mean, the COVID actions almost killed Tesla because they
let every other auto plant in the country was allowed
to open, but ours, which was in California, was not
a lot of open wow wow.
Speaker 4 (18:03):
So they almost killed Tesling.
Speaker 3 (18:05):
So as a personal matter, do you ever regret it?
Like five years ago you go to the Oscars and
were mister cool, and now you're You've got death threats
every day, liked do you?
Speaker 4 (18:16):
Well? These days the Oscars are boring. I wouldn't want
to go.
Speaker 2 (18:20):
God bless the movies they nominate.
Speaker 3 (18:21):
No one on earth has ever seen, like, could they
actually nominate a movie that human beings go watch?
Speaker 5 (18:26):
I mean, how many great movies have come out in
the last several years.
Speaker 4 (18:30):
Very few, depressingly few, yeah, very few. Last oscars came
and went I didn't watch it. There's nothing to see.
Speaker 3 (18:36):
I was sad that Gene Hackman just passed away because
Unforgiven was spectacular, but that was a long time ago.
Speaker 2 (18:42):
Forgiven came out.
Speaker 1 (18:43):
You've mentioned today here and before about the possibility of
someone wanting to.
Speaker 4 (18:49):
Take you out, dealing with the death threats. We see,
it's not in my imagination. You can just look on
social media.
Speaker 2 (18:55):
Yeah, but like is it because very clear? Yeah, And look,
I'm I'm very familiar with.
Speaker 5 (19:01):
And they've got science, the people with science and demonstrations
saying that I need to die.
Speaker 3 (19:06):
Do you think are these just whack jobs or do
you think there are foreign people? Do you think there
are foreign entities behind this? Do you think they're domestic
entities behind the threats? And also the attacks to Twitter
are not Twitter but Tesla. I mean, you know you're
getting Tesla's charging stations lit on fire. Do you think
(19:27):
that's organized and paid for?
Speaker 5 (19:30):
Yes, at least some of it is organized and paid
for I think by domestic you know, based left wing
organizations in America funded by left wing billionaires. Essentially, is
it like Act Blue or what Act Blue is one
of them. You know, Arabella, you know the classic. It's
(19:54):
funded by the you know, the the blue based, the
left wing and Goo Gobal.
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or nine seven to two Patriot. How big of a
thread is to like what you build at Tesla? I mean,
I remember when Tesla's came out, it was people that
they didn't want to have gas cars. A lot of
it was environmental reasons. I jokingly said, I was like,
I'm a Texas guy, I'm always going to have something
that burns gas. My kids now, all three of my
(22:39):
boys think that that Tesla's are awesome. The cyber truck
is the car they want their dad to buy, which
I laughed because I never could have imagined that five
years ago.
Speaker 2 (22:50):
And now I'm looking at We're worth the.
Speaker 3 (22:52):
White House in the President's Tesla'spark. Yeah, meaning, which is
the fullest stand.
Speaker 4 (22:56):
But I mean, you've.
Speaker 1 (22:57):
Changed a generation when you look at my kids are
six and eight, They're going dad buy a cyber truck
and I'm considering it. That's a that's a full circle
in a weird way.
Speaker 4 (23:07):
Yeah.
Speaker 5 (23:08):
Well, I do have this story that the most errantating
outcome is the most likely, so Yeah, it seems often
to be true. If you like, what what twist or
turn of fate? Well would the highest ratings if this
was if we're a TV show, what twistal turn of
fate would generate the highest ratings? That there's a good
chance that happens.
Speaker 3 (23:28):
Well, I will say if if Act Blue and Arabella.
Speaker 4 (23:32):
Network Blue is a huge scam, next level, do.
Speaker 2 (23:35):
You think it's foreign money? Chinese money?
Speaker 3 (23:37):
Where do you think the money in Act Blue is
coming from? How do you figure that out?
Speaker 5 (23:41):
Well, it's not coming from the from a whole bunch
of from a ground swell of public support, because when
individual donors looked at and Act Blue, they a bunch
of them turn out to be like diehard Republicans, people
have never given money in their life. So you're going
to track down a bunch of these people where it says, oh,
I gave sixteen.
Speaker 4 (23:58):
Thousand dollars and they're like, I didn't give sixteen thousand dollars.
We're talking about this.
Speaker 5 (24:03):
Well, if those stole con friends of mine, if I
found themselves on the Actlue list, like so that's.
Speaker 3 (24:09):
If it can actually be shown that they are funding
firebombing of Tesla.
Speaker 2 (24:14):
Charging stations.
Speaker 3 (24:16):
That's objectively a criminal act. That that is funding terrorist activity.
And the statutes make clear that an incendiary device qualify,
so that down is a terrorist activity. Yeah, let me
ask AI in ten years, how is life going to
be different because of AI?
Speaker 2 (24:35):
For for just a normal person.
Speaker 5 (24:38):
Well, ten years is a long time. In ten years,
probably AI could do anything better than a human can cognitively,
probably almost. I think in ten years, based on the
cart rate of improvement, AI will be smarter than the
smartest human.
Speaker 2 (24:57):
Yeah.
Speaker 5 (24:58):
Yeah, there will also be a massive number of robots,
So humanoid robots.
Speaker 3 (25:04):
By the way, I got to ask, how come your
robots look so much like the creepy robots for my robot?
Speaker 2 (25:09):
Was that intentional or just? Uh?
Speaker 1 (25:13):
I was hoping he's gonna say, yeah, just to mess
with you.
Speaker 5 (25:16):
It's not meant to look like any any prior robot.
And we'll iterate the design and you'll be able to
have a lot of the robot parts are cosmetic. You'll
be able to switch out the kind of snap on
cosmetic parts of the robot make it look like something
else if you're lying. So there'll be ultimately billions of
(25:39):
humanoid robots all costs will be self driving.
Speaker 2 (25:44):
In ten years.
Speaker 5 (25:47):
In ten years, probably ninety percent of miles driven will
be autonomous.
Speaker 2 (25:53):
Huh wow that fast.
Speaker 5 (25:55):
Yeah, in five years, probably fifty percent of driven over autonomous.
Speaker 3 (26:01):
Now, if AI will be smarter than any person, how
many jobs go away because of that? And what do
people do if you've got billions of people that are
losing their jobs like that, a lot of people are
understandably freaked out about that.
Speaker 5 (26:15):
Well, goods, goods and services will become its close to free.
So it's not as though people will be wanting in
terms of goods and services.
Speaker 2 (26:29):
So why is that?
Speaker 4 (26:30):
What?
Speaker 3 (26:30):
Why are goods and services free in an AI world
or close to free?
Speaker 5 (26:35):
Well, you have I don't know, call it tens of
billions of robots that they will They will make you
anything or provide any service you want for basically next
to nothing. It's it's not that people will be will
have a lower standard of living. They'll have actually much
higher standard of living. The challenge will be fulfillment. How
(27:02):
do you drive fulfillment and meeting in life?
Speaker 3 (27:05):
Is Skynet real like you get the apocalyptic visions of AI?
How real is the prospect of killer robots? Annihilating humanity
twenty percent likely, maybe ten percent on what timeframe?
Speaker 4 (27:23):
Fifty ten years so soon.
Speaker 3 (27:26):
Like you you see a world where that's possible.
Speaker 5 (27:30):
Yeah, But I mean you can look at it like
the glasses eighty ninety percent full, meaning like eighty percent
likely will have extreme prosperity for all.
Speaker 3 (27:41):
Now, I guess my view we're in a race to
win AI. We're in a race with China, and my
view is, if they're going to be killer robots, I'd
rather they be American killer robots than Chinese. How likely
are we winning right now? Is America winning right now?
And how likely is America to win the race for
AI visav China or anyone else for.
Speaker 5 (28:02):
The next few years. I think America is likely to win.
Then it will be a function of who controls the
AI chip fabrication, the factories that make the AI chips,
who controls them, if they are controlled, If more of
them will controlled by China, then China will win.
Speaker 3 (28:20):
More of the factories that are making the AI chips.
You think that will determine it? Yes, And how are
we doing versus China on that front?
Speaker 5 (28:30):
Well, right now, almost all the advanced AI chip factories
they call them fabs are in Taiwan, and what if
China invades one miles away from Yeah, what.
Speaker 2 (28:43):
Happens if China?
Speaker 3 (28:44):
If China invades Taiwan, what happens to the world.
Speaker 5 (28:50):
Well, if they were to invade in the near term,
the world would be cut off from advanced AI chips
and currently one percent of advansity ichifs I made in Taiwan.
Speaker 1 (29:02):
How fast can we put that online in America? How
important is that for national security?
Speaker 5 (29:07):
I think it's essential for national security, and we're not
doing enough.
Speaker 3 (29:11):
You're fifty three years old. I'm one hundred and eighteen
days older than you. By what the hell have I
done in my life?
Speaker 4 (29:17):
I know, right?
Speaker 2 (29:19):
Fifty three years old?
Speaker 4 (29:20):
Pretty well?
Speaker 3 (29:22):
Well, so seventy one was a great year, and I
was December seventy because I was just just right before
you were the summer of seventy one.
Speaker 4 (29:32):
I was born sixty nine days after four to twenty.
Speaker 2 (29:34):
Wow, I did ask Ben, this is true? Look all right?
I did ask Ben.
Speaker 3 (29:42):
Should I show up and pull up a joint and say,
can we beat Rogan's views? But I was pretty sure
it might cause a scandal if we spent a podca.
Speaker 4 (29:51):
It just turned out to be like a chocolate cigarden. Yeah.
Speaker 3 (29:56):
Let me ask you if if today was your last
day on Earth?
Speaker 4 (29:59):
Yeah, what what?
Speaker 3 (30:00):
I'm not suggesting it's going to be, But if it were,
what do you think your biggest legacy would be if
everything you've done one hundred years from now? What do
you think people would remember if if if if it
were zero.
Speaker 1 (30:11):
To today, and were you ever going to space.
Speaker 5 (30:15):
In the in the distant future one hundred or one
thousand years ago? If SpaceX got humans to Mars, that's
what they would remember me for?
Speaker 2 (30:24):
All Right, final set of questions.
Speaker 3 (30:26):
Who's the smartest guy you've ever met? You hang out
with some brilliant people, Like like when you look at
what's the CEO? You look at other than yourself?
Speaker 2 (30:35):
What CEO? Do you say? Damn, that guy's good.
Speaker 5 (30:40):
Larry Elson's very smart? So I say, Larry Elson's one
of the smartest people. You know, Larry Page. I mean,
there are a lot of people that are very smart.
It's hard to say, like, you know, I think some
of you smart is as smart as so Oh you
(31:01):
know what if what if they've done that is difficult
and significant? You know, Jeff Bezos has done a lot
of difficult and significant things. I mean, there are a
lot of smart humans. I call them smart for smart
for a human, A lot of people who are in
(31:22):
the smart for a human category.
Speaker 2 (31:24):
All right, final lightning round, Star Wars or Star Trek.
Speaker 5 (31:29):
The first movie I said in the theater was Star Wars,
so I think it had a profound effect on me.
I was six years old. I think, imagine, best first
movie you ever see in a theater is Star Wars.
It's going to blow your mind.
Speaker 2 (31:41):
Best Star Wars movie.
Speaker 4 (31:46):
Empires tracks Back.
Speaker 3 (31:47):
The only objectively right answer. I stood in line in
three hours with my dad to see it on opening day.
Speaker 2 (31:53):
Kirker Picard.
Speaker 4 (31:55):
I like them both, but Kirk.
Speaker 3 (31:57):
Again objectively right answer. By the way, James T. Kirk
is a Republican and Picard is a Democrat, and and
the left gets very mad when I say that best
Star Trek movie, I mean.
Speaker 4 (32:10):
The original, the first Star Trek movie. That's okay. Ratha Khan.
Speaker 5 (32:18):
Most of both of both Ratha cons were pretty good,
but yeah, the original Wratha.
Speaker 3 (32:22):
Khon Ricardo Montaban Revenge is a dish best served cold.
Speaker 2 (32:28):
It is very cold in space.
Speaker 3 (32:31):
Although I will say Wrathacon is objectively the right answer.
But but four is a sleeper when they go back
to San Francisco and and and go find the whales
and and you know, Scotty picks up spicks, picks up
the mouth and talks to it and goes a keyboard.
Speaker 2 (32:45):
How quaint that's a sleeper?
Speaker 4 (32:48):
All right?
Speaker 3 (32:48):
Last question? Did Han shoot first?
Speaker 4 (32:52):
It seemed like you shot second.
Speaker 2 (32:55):
This is verdict.
Speaker 3 (32:56):
And by the way, I apologize Ben so Ben was
a jock and played tennis at all miss and so
so occasionally when when we geek out a little, I
love watching.
Speaker 5 (33:04):
Y'all geek out over there. Still on the question, you
missed the alien miss is blast shot? So why do
you miss his last shot? Must have been because he
got shot first, and he's missing a point blank bastel shot.
If they less, they got knocked off kids.
Speaker 3 (33:18):
But it's a question of real which is is Han
solo simply a hero or an anti hero? And and
so I'm in the Han shot first category. I think
I don't like sanitized stories.
Speaker 5 (33:29):
You would have had to have shot first because of
the way. Why why would the alien miss a point
blank range?
Speaker 1 (33:34):
Are you ever going to go to outer space? Is
that thing in your life goals.
Speaker 4 (33:37):
Yeah, I'd like to go to Mars at some point.
Speaker 5 (33:39):
And people have said do I want to die maz
and I say yes, just not an impact.
Speaker 2 (33:45):
Now, that's a very good answer.
Speaker 3 (33:47):
The astronauts on the space station, are they political prisoners?
Some of them are because because you could have given
him a ride back, and.
Speaker 2 (33:58):
Joe Biden said no, surely for politics.
Speaker 5 (34:01):
Yeah, I mean, you know, there's been some debate about
this online. But the thing is that it was very
a very high level decision, so it wasn't really even
an acid decision.
Speaker 4 (34:11):
It was just.
Speaker 5 (34:12):
That the Biden White House did not want to have
someone who is pro Trump rescuing askrowts rife before the election,
so they pushed it.
Speaker 3 (34:22):
Well, if you're one of those astronauts, you got to
be pretty pissed off about that.
Speaker 5 (34:26):
Well, if they're a Democrat, yes, a Democrat, like, everything's fine,
fair enough. So I think one of them is a
Republicable is a Democrat? It depends on which one you ask.
Speaker 3 (34:37):
Well, thank you, Elan, this was this was awesome. And
let me say, and by the way, I put out
on X the day before yesterday, if you were having
a beer with Elon and could ask him anything, what
would you ask and got lots of responses. The most
common response people said is is say thank you. Look,
Texans and the American people appreciate what you're doing. You
(34:57):
don't have to put up with this BS and you're doing.
I'm grateful you're making a hell of a difference for
this country. I appreciate you, and the Americans appreciate you.
Speaker 5 (35:06):
Yeah, it's essential for the future of civilization. Otherwise I
wouldn't be doing it. Yes, it's not like I want
to get death threats, you know.
Speaker 2 (35:11):
No.
Speaker 1 (35:12):
All right now, part two of this interview with Eon
Mosk and some bigger breaking news that we're going to
have for you about corruption the government will hit on
Wednesday morning, So make sure you get that subscribe or
auto download button right now, and again, please help this
show go viral so that we can continue to expose
government waste. Wherever you're on social media, hit that little
(35:34):
forward button and post this episode on social media and
I'll see you back here tomorrow.
Today is a very special day as we are doing
part one of our two part conversation at the White
House with Elon musk Now. Elon is going to break
news during today and Wednesday's show on Doge and some credible,
shocking information about corruption within our government. I want to
(00:22):
make sure you hit that subscribe button, that auto download
button right now so you do not miss part two
on Wednesday. Also, please help this go viral as we're
exposing government waste by sharing this episode on any social
media platform that you are on. But before we get
to that, after more than a year of war, tear
(00:44):
and pain in Israel, the need for security essentials and
support for first responders is still critical. Even in times
of ceasefire. Israel must be prepared for the next attack,
wherever it may come from.
Speaker 2 (00:57):
As Israel is surrounded.
Speaker 1 (00:58):
By enemies on all sides. That is where the International
Fellowship of Christians and Jews and you come in. They
are the ones that help give the support that is
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(01:42):
eight eight IFCJ. That's eight eight eight four eight eight
IFCJ eight and eight four eight eight four three two
five or support IFCJ dot org. Here is part one
of our sit down conversation at the White House with
Elon Musk.
Speaker 3 (01:59):
Well, we're in the White House US what right now?
And we're here with my friend Elon Musk, who really
has not been doing much of anything, has not made
any news is and nobody has noticed. Yeah, the impact
welcome Elon. Holy crap ah, yes wow. Let me just say,
never a dull moment.
Speaker 2 (02:18):
Never a dull moment.
Speaker 3 (02:19):
The first fifty days the president has spent in office
over the top, and the first fifty days you've spent.
I don't think there's ever been anyone to have an
impact the way you have at the beginning let me
start with a question. You know a lot about which
was worse the mess you found at Twitter or the
mess you found in the federal government.
Speaker 4 (02:40):
Well, it's hard to compete with the federal government.
Speaker 3 (02:43):
What's surprised you about the federal government? I assume you
came in and assumed it was bad. Is it worse
than you expected?
Speaker 5 (02:50):
It is worse than I expected. But on the plus side,
that means there's more opportunity for improvement. So look, if
you look on the right side, there's actually a lot
of opportunity for improvement in federal government expenditures because it's
so bad.
Speaker 4 (03:05):
If I was a well run ship, it would be
very difficult to improve.
Speaker 5 (03:08):
So like, but so now it's like people say, well,
how how do you figure out how to save money
in the federal government. Well, it's like being in a
room where the walls, the roof, and the floor are
old targets any direction and you're your kindness, Wow, yeah,
I'm sure you would agree.
Speaker 2 (03:25):
So a lot of folks have talked about like, like.
Speaker 4 (03:28):
You can't right, this is going to any direction.
Speaker 3 (03:33):
A lot of the crazy expenditures, things like like two
million bucks for sex change surgeries in Guatemala an essential,
you know, transgendered mice and and sesame street in Iraq.
A lot of that has gotten attention. But some of
the stuff you've told me about, like tell us about
computer licenses and government agencies.
Speaker 5 (03:53):
Yeah, so most of what notes just finding. You don't
need to be shoock comes. Okay, it's very obvious basic stuff.
So in every government department, I say every because we've
not yet found a single exception. There are far too
many software licenses and media subscriptions, meaning many more software
licenses and media subscriptions than there are humans in the department.
Speaker 3 (04:17):
Like you were saying, like an agency with fifteen thousand
people might have thirty thousand licenses. Yes, and even of
the fifteen thousand employees, a good chunk of them hadn't
used the license, had never logged on or used the application.
Speaker 5 (04:30):
Yes, we found entire situations of software licenses or media
subscriptions where there were zero logins.
Speaker 2 (04:39):
So it had and yet we were paying for it.
Speaker 5 (04:41):
Yes, the governor's paying for thousands of licenses of software
or media subscriptions and no one had ever logged in
even once.
Speaker 2 (04:48):
Or credit cards. You found the same thing with government credit.
Speaker 5 (04:51):
Cards we found that there are twice as many credit
cards as there are humans, and I still don't have
a good explanation for why this is the case. And
these are ten thousand dollars limit cards, so it's a
lot of money.
Speaker 1 (05:04):
Is it incompetent that you're finding or is this like
the biggest money laundering scheme in the history of the
world that you're finding.
Speaker 5 (05:11):
Okay, I think it's mostly If you say, look, what's
the waste to fraud ratio, Yeah, in my opinion, it's
it's like eighty percent wist twenty percent fraud.
Speaker 4 (05:21):
But you do have these sort of gray areas.
Speaker 5 (05:25):
For example, example, be so, uh, we saw a lot
of payments going out of treasury that had no payment
code and no explanation for the payment, and then we're
we're we're trying to figure out what that payment is
and we'd see that Okay, that contract was supposed to
be shut off, but but someone forgot to shut off
(05:45):
that that contract and so the company kept getting money.
Speaker 4 (05:49):
Wow. Now is that waste or fraud both both?
Speaker 1 (05:54):
Yeah, you're not.
Speaker 5 (05:57):
Supposed to get you're not supposed to get it. You
but the government sent it to you, and nobody from
the government asked for it back. Take for example, the
one the one point nine billion dollars given to Stacy Abrams. Yeah,
fake NGO, utter insanity, explain the story.
Speaker 3 (06:13):
That's that's just corrupt. I think that's paying off cronies
at that point.
Speaker 4 (06:19):
Yeah. Yeah.
Speaker 3 (06:20):
And by the way, she knew, like when you get
two billion dollars, you don't miss that that's not on.
Speaker 5 (06:24):
Accident that allegedly it was for like, uh, you know,
environmentally friendly appliances or something. And they've given like like
one hundred appliances so far for two billion dollars. It's
very expensive toast, that's fridge.
Speaker 4 (06:40):
It's nice.
Speaker 5 (06:41):
Is it's just obviously one of the biggest scam portholes
we've uncovered, which is really crazy, is uh? Is that
is that the government can give money to a so
called nonprofit with with very few controls and then that
and there's there's no auditing subsequently of that nonprofit, so
there's no So this is where with the you know,
(07:03):
one point nine billion Stacey Arams, who's who's that they
didn't give themselves extremely lavished like insane salaries, expense everything yep,
to the to the nonprofit, you know, buy jets and
homes and all sorts of things.
Speaker 2 (07:17):
Live like kings and queens. Yes on the taxpayer, dont correct.
Speaker 4 (07:20):
You mentioned this is happening at scale. It's not just
one or two. We're seeing this everywhere.
Speaker 3 (07:25):
Now, one of the things you told me about is
it is what you call say magic money computers. Well,
so tell us about it, because I never heard of
that until you brought that up.
Speaker 5 (07:35):
Okay, So you may think that these the government computers
like all talk to each other, they synchronize, they add
up what funds are going somewhere, and it's you know,
it's coherent that that that the you know, there's and
that and that. The numbers for example, that you're presented
as a senator, Yeah, are actually the real numbers.
Speaker 4 (07:56):
And one would think, well, I would think they're not. Okay.
Speaker 5 (07:59):
I mean, they're not totally wrong, but they're probably off
by five percent or ten percent in some cases. So
I call it magic my computer. Any computer which can
just make money out of thin air best magic money.
Speaker 2 (08:13):
So how does that work?
Speaker 4 (08:14):
It just issues payments.
Speaker 2 (08:16):
And you said to.
Speaker 3 (08:17):
Something like eleven of these computers a treasury that are
that are sending out trillions in payments they're.
Speaker 5 (08:22):
Mostly a treasury, some are with the sum at HHS,
some at there's one one of two states. There's summit
at DoD. I think we found now fourteen magic money computers.
Speaker 2 (08:37):
Gene.
Speaker 4 (08:37):
Okay, they just send money out of nothing.
Speaker 3 (08:40):
You have an ability to see where leverage points are
and how things actually happen. So I remember back I
think it was September October of this year, before the election.
We didn't know who was going to win, and I
was at your house in Austin. We were talking about it,
and you said, you said, look, I don't want a
job in washing to any You said, all I want
(09:01):
is the log in.
Speaker 2 (09:01):
For every computer.
Speaker 3 (09:03):
And I remember thinking at the time that sounded kind
of weird, like I just didn't get it, And I
have to say, what's interesting on this? If I would
have thought like, okay, how do you reform government? Like
sort of the traditional way to think about it is, okay,
give me an ORC chart, let me sit down with
the people who are running agencies. And what you saw
immediately is to understand what's really going on. Get to
(09:26):
the payment systems, get to the computers.
Speaker 4 (09:28):
Yeah, Like.
Speaker 3 (09:32):
Why is getting to the computers so critical to understanding
what's actually happening.
Speaker 5 (09:38):
Well, the government is run by computers, So you've got
essentially several hundred computers that effectively run the government.
Speaker 4 (09:46):
And if you want to know, did you know that
ben No?
Speaker 5 (09:49):
Like, yeah, So when somebody, like even when the present
issues an executive order, that's going to go through a
whole bunch of people and ultimately it is implemented at
a computer somewhere. And if you want to know what
what the situation is with the accounting and you're trying
to reconcile accounting and get rid of waste and fraud,
you must be able to analyze the computer databases. Otherwise
you can't figure it out because all you're doing is
(10:10):
asking a human who will then ask another human, ask
another human, and finally usually ask some contractor will ask
another contractor to your query under computer.
Speaker 4 (10:20):
Wow, that's how it actually works.
Speaker 5 (10:22):
So it's many layers deep. So the only way to
reconcile the databases and get rid of waste and fraud
is to to actually look at the computers and see
what's going on. So that's what I call you. That's like,
that's why when I sort of cryptically referred to reprogramming
the matrix. You have to understand what's going on the computers.
(10:43):
You have to reconcile the computer databases in order to
identify the waste and fraud.
Speaker 3 (10:47):
I don't know that there was anyone in Congress who understood,
certainly myself included, who understood the leverage that comes from
the computer and the data in particul killer that Congress
would think about give me a report on what your
expenditures are rather than actually getting into the pipes. And
I think that has been fascinating that it's let you
(11:10):
uncover a bunch of craft that just nobody knew.
Speaker 5 (11:14):
Yes, I mean, in order for money to go to
a van account, it's it's not like we're sending truckloads
of cash all over the place where it's a we're
wiring money right, We're sending money through the ACH system
or through the Swift system. So in order for money
to flow, it's going to flow electronically. So that's that's
what you need to look at. You need to look
at the actual electronic money flows.
Speaker 3 (11:34):
And Tesla and all your companies you have accounting and
you have every expenditure, you have it coded for what
it's going for federal government doesn't work that way.
Speaker 2 (11:41):
They don't code what the money is going for. They
do not, but they didn't.
Speaker 4 (11:44):
They didn't.
Speaker 3 (11:46):
And like one of the things that that you told me,
you said, if any company kept its books the way
the federal government does, they'd arrest the officers and put.
Speaker 2 (11:54):
Them in jail.
Speaker 5 (11:54):
Yes, if it was a poly company would be dealisted immediately,
it would fail, it's ordered, and the office as the
company would be in prisoned. That's the level of enough
business in the middle.
Speaker 1 (12:04):
Unfortunately, it's deliberately or do you think this is a
confidence again.
Speaker 5 (12:09):
It's eighty percent, it's eighty percent in competence or in
twenty percent malice.
Speaker 1 (12:15):
So if you look at if you look at DOGE
now and you look at the government and what you're finding,
what percentage have you guys even gotten to And how
much of it is mars where you haven't even gotten
there yet because there's so much you're finding out here,
I mean, how many you seem like a timeline guy
when you say, all right, I want to get in
there and get all these you know, numbers and things.
(12:37):
How far are we from the end game where you've
seen it all been able to process it all and
fix it. I mean are we years away, months away.
Speaker 5 (12:47):
Not yours, I mean reasonably confident that we'll be able
to get a trillion dollars of waste and forward out,
and that that meaning that it will have we'll have
a net savings in f I twenty six, which starts
in October.
Speaker 4 (13:06):
Obviously of a trillion dollars provider.
Speaker 5 (13:10):
We're allowed to we're allowed to continue, and we and
our progress is not impeded.
Speaker 4 (13:13):
And we're very public about what we do.
Speaker 2 (13:15):
Yeah, put it off on the website.
Speaker 4 (13:18):
How we could be more transparent?
Speaker 5 (13:20):
Literally, everything action we do, small or large, we put
on the dose dot dot gov website and we post
on the x handle. And when people complain about it
and they say, oh, you're doing something on costumes, I'm like, well,
which of these costs in the daylight.
Speaker 2 (13:35):
Everyone knows exactly what you're doing.
Speaker 4 (13:36):
Extreme transparent.
Speaker 5 (13:38):
Yeah, I don't think it's anything's been this transparent ever.
Speaker 3 (13:42):
So five years ago you were a hero to the left,
you cool, you had electric cars, you had space, And
in five years you've got.
Speaker 4 (13:51):
To go to a party in Hollywood and not get
doddy looks. Yeah in fact, yeah.
Speaker 2 (13:56):
And now you might not even get invited. I think
it's really invited, but I don't know if I go.
Speaker 3 (14:01):
And I don't think it's an exaggeration to say today,
after Donald Trump, the left hates you more than a
person on earth.
Speaker 5 (14:10):
Yes, I appear to be number two. I mean, if
you're judged by the various signs.
Speaker 3 (14:15):
They extrangements, it's Trump de arrangement syndrome and Elon derangement syndrome.
Speaker 2 (14:20):
How is that for you?
Speaker 3 (14:21):
That's a little bit of whiplash of going from being
like mister cool to the devil incarnate in just a
couple of years. Is that is that kind of weird
to experience that transformation?
Speaker 4 (14:31):
Yes?
Speaker 2 (14:32):
Why do they hate you so much?
Speaker 5 (14:34):
Well, because we're we're clearly over the target if those
was ineffective, if we were not actually getting rid of
a bunch of waste and forward and a bunch of
that fraud. I mean, the ford reason we're seeing is
overwhelmingly on the on the left. I mean, it's not
zero on the right, but these angos are almost all
(14:56):
left wing NGOs that are being funded for example. Yep,
So they hate me because dog is being effective and
Doge is getting rid of a lot of waste for
that they were that people and left were taking advantage
of that. That's that's that's what it comes out to you.
And and the single biggest thing that they're that they're
(15:16):
worried about is that doge is is going to turn
off fraudulent payments of entitlements. I mean everything from Social Security, Medicare, uh,
you know, unemployment, disability, smallpers administ registration loans, turn them
off to illegals.
Speaker 4 (15:36):
This is that crux of the matter.
Speaker 5 (15:38):
Yeah, okay, this is this is the this is the
thing that why they really hit my guts, want me
to die.
Speaker 3 (15:44):
And do you think that's billions? Hundreds of billions? What
do you think the scale is of that?
Speaker 5 (15:49):
I think across the country it's it's in the it's
well north of one hundred billion, maybe two hundred billion.
Speaker 4 (15:55):
So uh.
Speaker 5 (15:57):
By by using entitlements fraud, the Democrats have been able
to attract and retain vast numbers of illegal immigrants and
buy voters, and buy voters exactly the It basically bring
in ten twenty million people who are beholden to the
(16:17):
Democrats for government handouts and will vote overwhelming the Democrat
as has been demonstrated in California. This is it's an
election strategy. Yes, it's powered, Yes, and it doesn't take
much to turn the swing states blue. I mean off
in a swing state yet be won by ten twenty
thousand votes. Sure, so if the DAMS can bring in
two hundred thousand illegals and over time get them legal legalized,
(16:41):
not counting any cheating that takes place, because there is
some cheating, but even without cheating, if you bake, if
you have, if you bring in illegals that are ten
x the voted differential in a swing state, it will
no longer be a swing state, right, and the DAMS
will win all the swing states just a matter of time,
and America will be permanent deep blue socialist state. Were
(17:05):
at the House, the Senate, YEP, the Presidency, and the Supreme.
Speaker 4 (17:09):
Court will all go hardcore down.
Speaker 5 (17:12):
They will then further cement that by bringing even more
aliens so you can't vote your way out of it.
Their objement is to make it one party socialist state,
and it will be much worse than California, because at
least California is mitigated by the fact that someone can
leave California.
Speaker 2 (17:27):
You can go to Texas.
Speaker 5 (17:27):
Yeah, exactly, you're going to make everywhere California but worse.
Speaker 3 (17:32):
By the way, the middle of the pandemic, I spent
forty five minutes on the phone with Elon.
Speaker 2 (17:36):
He was still in California.
Speaker 3 (17:37):
I was walking my dog's snowflake and trying to convince
you come to Texas. The commis in California can't stand you.
We love you, we want you here. And you didn't
quite go then, but you went not that long afterwards.
Speaker 5 (17:50):
I mean, the COVID actions almost killed Tesla because they
let every other auto plant in the country was allowed
to open, but ours, which was in California, was not
a lot of open wow wow.
Speaker 4 (18:03):
So they almost killed Tesling.
Speaker 3 (18:05):
So as a personal matter, do you ever regret it?
Like five years ago you go to the Oscars and
were mister cool, and now you're You've got death threats
every day, liked do you?
Speaker 4 (18:16):
Well? These days the Oscars are boring. I wouldn't want
to go.
Speaker 2 (18:20):
God bless the movies they nominate.
Speaker 3 (18:21):
No one on earth has ever seen, like, could they
actually nominate a movie that human beings go watch?
Speaker 5 (18:26):
I mean, how many great movies have come out in
the last several years.
Speaker 4 (18:30):
Very few, depressingly few, yeah, very few. Last oscars came
and went I didn't watch it. There's nothing to see.
Speaker 3 (18:36):
I was sad that Gene Hackman just passed away because
Unforgiven was spectacular, but that was a long time ago.
Speaker 2 (18:42):
Forgiven came out.
Speaker 1 (18:43):
You've mentioned today here and before about the possibility of
someone wanting to.
Speaker 4 (18:49):
Take you out, dealing with the death threats. We see,
it's not in my imagination. You can just look on
social media.
Speaker 2 (18:55):
Yeah, but like is it because very clear? Yeah, And look,
I'm I'm very familiar with.
Speaker 5 (19:01):
And they've got science, the people with science and demonstrations
saying that I need to die.
Speaker 3 (19:06):
Do you think are these just whack jobs or do
you think there are foreign people? Do you think there
are foreign entities behind this? Do you think they're domestic
entities behind the threats? And also the attacks to Twitter
are not Twitter but Tesla. I mean, you know you're
getting Tesla's charging stations lit on fire. Do you think
(19:27):
that's organized and paid for?
Speaker 5 (19:30):
Yes, at least some of it is organized and paid
for I think by domestic you know, based left wing
organizations in America funded by left wing billionaires. Essentially, is
it like Act Blue or what Act Blue is one
of them. You know, Arabella, you know the classic. It's
(19:54):
funded by the you know, the the blue based, the
left wing and Goo Gobal.
Speaker 1 (20:04):
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code they send you. It is amazing. But here's the
(20:25):
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And two, I'm no longer supporting the radical left now.
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Speaker 2 (21:09):
What does that mean for you?
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every call you make Patriot Mobile dot com slash Ferguson
or nine seven to two Patriot. How big of a
thread is to like what you build at Tesla? I mean,
I remember when Tesla's came out, it was people that
they didn't want to have gas cars. A lot of
it was environmental reasons. I jokingly said, I was like,
I'm a Texas guy, I'm always going to have something
that burns gas. My kids now, all three of my
(22:39):
boys think that that Tesla's are awesome. The cyber truck
is the car they want their dad to buy, which
I laughed because I never could have imagined that five
years ago.
Speaker 2 (22:50):
And now I'm looking at We're worth the.
Speaker 3 (22:52):
White House in the President's Tesla'spark. Yeah, meaning, which is
the fullest stand.
Speaker 4 (22:56):
But I mean, you've.
Speaker 1 (22:57):
Changed a generation when you look at my kids are
six and eight, They're going dad buy a cyber truck
and I'm considering it. That's a that's a full circle
in a weird way.
Speaker 4 (23:07):
Yeah.
Speaker 5 (23:08):
Well, I do have this story that the most errantating
outcome is the most likely, so Yeah, it seems often
to be true. If you like, what what twist or
turn of fate? Well would the highest ratings if this
was if we're a TV show, what twistal turn of
fate would generate the highest ratings? That there's a good
chance that happens.
Speaker 3 (23:28):
Well, I will say if if Act Blue and Arabella.
Speaker 4 (23:32):
Network Blue is a huge scam, next level, do.
Speaker 2 (23:35):
You think it's foreign money? Chinese money?
Speaker 3 (23:37):
Where do you think the money in Act Blue is
coming from? How do you figure that out?
Speaker 5 (23:41):
Well, it's not coming from the from a whole bunch
of from a ground swell of public support, because when
individual donors looked at and Act Blue, they a bunch
of them turn out to be like diehard Republicans, people
have never given money in their life. So you're going
to track down a bunch of these people where it says, oh,
I gave sixteen.
Speaker 4 (23:58):
Thousand dollars and they're like, I didn't give sixteen thousand dollars.
We're talking about this.
Speaker 5 (24:03):
Well, if those stole con friends of mine, if I
found themselves on the Actlue list, like so that's.
Speaker 3 (24:09):
If it can actually be shown that they are funding
firebombing of Tesla.
Speaker 2 (24:14):
Charging stations.
Speaker 3 (24:16):
That's objectively a criminal act. That that is funding terrorist activity.
And the statutes make clear that an incendiary device qualify,
so that down is a terrorist activity. Yeah, let me
ask AI in ten years, how is life going to
be different because of AI?
Speaker 2 (24:35):
For for just a normal person.
Speaker 5 (24:38):
Well, ten years is a long time. In ten years,
probably AI could do anything better than a human can cognitively,
probably almost. I think in ten years, based on the
cart rate of improvement, AI will be smarter than the
smartest human.
Speaker 2 (24:57):
Yeah.
Speaker 5 (24:58):
Yeah, there will also be a massive number of robots,
So humanoid robots.
Speaker 3 (25:04):
By the way, I got to ask, how come your
robots look so much like the creepy robots for my robot?
Speaker 2 (25:09):
Was that intentional or just? Uh?
Speaker 1 (25:13):
I was hoping he's gonna say, yeah, just to mess
with you.
Speaker 5 (25:16):
It's not meant to look like any any prior robot.
And we'll iterate the design and you'll be able to
have a lot of the robot parts are cosmetic. You'll
be able to switch out the kind of snap on
cosmetic parts of the robot make it look like something
else if you're lying. So there'll be ultimately billions of
(25:39):
humanoid robots all costs will be self driving.
Speaker 2 (25:44):
In ten years.
Speaker 5 (25:47):
In ten years, probably ninety percent of miles driven will
be autonomous.
Speaker 2 (25:53):
Huh wow that fast.
Speaker 5 (25:55):
Yeah, in five years, probably fifty percent of driven over autonomous.
Speaker 3 (26:01):
Now, if AI will be smarter than any person, how
many jobs go away because of that? And what do
people do if you've got billions of people that are
losing their jobs like that, a lot of people are
understandably freaked out about that.
Speaker 5 (26:15):
Well, goods, goods and services will become its close to free.
So it's not as though people will be wanting in
terms of goods and services.
Speaker 2 (26:29):
So why is that?
Speaker 4 (26:30):
What?
Speaker 3 (26:30):
Why are goods and services free in an AI world
or close to free?
Speaker 5 (26:35):
Well, you have I don't know, call it tens of
billions of robots that they will They will make you
anything or provide any service you want for basically next
to nothing. It's it's not that people will be will
have a lower standard of living. They'll have actually much
higher standard of living. The challenge will be fulfillment. How
(27:02):
do you drive fulfillment and meeting in life?
Speaker 3 (27:05):
Is Skynet real like you get the apocalyptic visions of AI?
How real is the prospect of killer robots? Annihilating humanity
twenty percent likely, maybe ten percent on what timeframe?
Speaker 4 (27:23):
Fifty ten years so soon.
Speaker 3 (27:26):
Like you you see a world where that's possible.
Speaker 5 (27:30):
Yeah, But I mean you can look at it like
the glasses eighty ninety percent full, meaning like eighty percent
likely will have extreme prosperity for all.
Speaker 3 (27:41):
Now, I guess my view we're in a race to
win AI. We're in a race with China, and my
view is, if they're going to be killer robots, I'd
rather they be American killer robots than Chinese. How likely
are we winning right now? Is America winning right now?
And how likely is America to win the race for
AI visav China or anyone else for.
Speaker 5 (28:02):
The next few years. I think America is likely to win.
Then it will be a function of who controls the
AI chip fabrication, the factories that make the AI chips,
who controls them, if they are controlled, If more of
them will controlled by China, then China will win.
Speaker 3 (28:20):
More of the factories that are making the AI chips.
You think that will determine it? Yes, And how are
we doing versus China on that front?
Speaker 5 (28:30):
Well, right now, almost all the advanced AI chip factories
they call them fabs are in Taiwan, and what if
China invades one miles away from Yeah, what.
Speaker 2 (28:43):
Happens if China?
Speaker 3 (28:44):
If China invades Taiwan, what happens to the world.
Speaker 5 (28:50):
Well, if they were to invade in the near term,
the world would be cut off from advanced AI chips
and currently one percent of advansity ichifs I made in Taiwan.
Speaker 1 (29:02):
How fast can we put that online in America? How
important is that for national security?
Speaker 5 (29:07):
I think it's essential for national security, and we're not
doing enough.
Speaker 3 (29:11):
You're fifty three years old. I'm one hundred and eighteen
days older than you. By what the hell have I
done in my life?
Speaker 4 (29:17):
I know, right?
Speaker 2 (29:19):
Fifty three years old?
Speaker 4 (29:20):
Pretty well?
Speaker 3 (29:22):
Well, so seventy one was a great year, and I
was December seventy because I was just just right before
you were the summer of seventy one.
Speaker 4 (29:32):
I was born sixty nine days after four to twenty.
Speaker 2 (29:34):
Wow, I did ask Ben, this is true? Look all right?
I did ask Ben.
Speaker 3 (29:42):
Should I show up and pull up a joint and say,
can we beat Rogan's views? But I was pretty sure
it might cause a scandal if we spent a podca.
Speaker 4 (29:51):
It just turned out to be like a chocolate cigarden. Yeah.
Speaker 3 (29:56):
Let me ask you if if today was your last
day on Earth?
Speaker 4 (29:59):
Yeah, what what?
Speaker 3 (30:00):
I'm not suggesting it's going to be, But if it were,
what do you think your biggest legacy would be if
everything you've done one hundred years from now? What do
you think people would remember if if if if it
were zero.
Speaker 1 (30:11):
To today, and were you ever going to space.
Speaker 5 (30:15):
In the in the distant future one hundred or one
thousand years ago? If SpaceX got humans to Mars, that's
what they would remember me for?
Speaker 2 (30:24):
All Right, final set of questions.
Speaker 3 (30:26):
Who's the smartest guy you've ever met? You hang out
with some brilliant people, Like like when you look at
what's the CEO? You look at other than yourself?
Speaker 2 (30:35):
What CEO? Do you say? Damn, that guy's good.
Speaker 5 (30:40):
Larry Elson's very smart? So I say, Larry Elson's one
of the smartest people. You know, Larry Page. I mean,
there are a lot of people that are very smart.
It's hard to say, like, you know, I think some
of you smart is as smart as so Oh you
(31:01):
know what if what if they've done that is difficult
and significant? You know, Jeff Bezos has done a lot
of difficult and significant things. I mean, there are a
lot of smart humans. I call them smart for smart
for a human, A lot of people who are in
(31:22):
the smart for a human category.
Speaker 2 (31:24):
All right, final lightning round, Star Wars or Star Trek.
Speaker 5 (31:29):
The first movie I said in the theater was Star Wars,
so I think it had a profound effect on me.
I was six years old. I think, imagine, best first
movie you ever see in a theater is Star Wars.
It's going to blow your mind.
Speaker 2 (31:41):
Best Star Wars movie.
Speaker 4 (31:46):
Empires tracks Back.
Speaker 3 (31:47):
The only objectively right answer. I stood in line in
three hours with my dad to see it on opening day.
Speaker 2 (31:53):
Kirker Picard.
Speaker 4 (31:55):
I like them both, but Kirk.
Speaker 3 (31:57):
Again objectively right answer. By the way, James T. Kirk
is a Republican and Picard is a Democrat, and and
the left gets very mad when I say that best
Star Trek movie, I mean.
Speaker 4 (32:10):
The original, the first Star Trek movie. That's okay. Ratha Khan.
Speaker 5 (32:18):
Most of both of both Ratha cons were pretty good,
but yeah, the original Wratha.
Speaker 3 (32:22):
Khon Ricardo Montaban Revenge is a dish best served cold.
Speaker 2 (32:28):
It is very cold in space.
Speaker 3 (32:31):
Although I will say Wrathacon is objectively the right answer.
But but four is a sleeper when they go back
to San Francisco and and and go find the whales
and and you know, Scotty picks up spicks, picks up
the mouth and talks to it and goes a keyboard.
Speaker 2 (32:45):
How quaint that's a sleeper?
Speaker 4 (32:48):
All right?
Speaker 3 (32:48):
Last question? Did Han shoot first?
Speaker 4 (32:52):
It seemed like you shot second.
Speaker 2 (32:55):
This is verdict.
Speaker 3 (32:56):
And by the way, I apologize Ben so Ben was
a jock and played tennis at all miss and so
so occasionally when when we geek out a little, I
love watching.
Speaker 5 (33:04):
Y'all geek out over there. Still on the question, you
missed the alien miss is blast shot? So why do
you miss his last shot? Must have been because he
got shot first, and he's missing a point blank bastel shot.
If they less, they got knocked off kids.
Speaker 3 (33:18):
But it's a question of real which is is Han
solo simply a hero or an anti hero? And and
so I'm in the Han shot first category. I think
I don't like sanitized stories.
Speaker 5 (33:29):
You would have had to have shot first because of
the way. Why why would the alien miss a point
blank range?
Speaker 1 (33:34):
Are you ever going to go to outer space? Is
that thing in your life goals.
Speaker 4 (33:37):
Yeah, I'd like to go to Mars at some point.
Speaker 5 (33:39):
And people have said do I want to die maz
and I say yes, just not an impact.
Speaker 2 (33:45):
Now, that's a very good answer.
Speaker 3 (33:47):
The astronauts on the space station, are they political prisoners?
Some of them are because because you could have given
him a ride back, and.
Speaker 2 (33:58):
Joe Biden said no, surely for politics.
Speaker 5 (34:01):
Yeah, I mean, you know, there's been some debate about
this online. But the thing is that it was very
a very high level decision, so it wasn't really even
an acid decision.
Speaker 4 (34:11):
It was just.
Speaker 5 (34:12):
That the Biden White House did not want to have
someone who is pro Trump rescuing askrowts rife before the election,
so they pushed it.
Speaker 3 (34:22):
Well, if you're one of those astronauts, you got to
be pretty pissed off about that.
Speaker 5 (34:26):
Well, if they're a Democrat, yes, a Democrat, like, everything's fine,
fair enough. So I think one of them is a
Republicable is a Democrat? It depends on which one you ask.
Speaker 3 (34:37):
Well, thank you, Elan, this was this was awesome. And
let me say, and by the way, I put out
on X the day before yesterday, if you were having
a beer with Elon and could ask him anything, what
would you ask and got lots of responses. The most
common response people said is is say thank you. Look,
Texans and the American people appreciate what you're doing. You
(34:57):
don't have to put up with this BS and you're doing.
I'm grateful you're making a hell of a difference for
this country. I appreciate you, and the Americans appreciate you.
Speaker 5 (35:06):
Yeah, it's essential for the future of civilization. Otherwise I
wouldn't be doing it. Yes, it's not like I want
to get death threats, you know.
Speaker 2 (35:11):
No.
Speaker 1 (35:12):
All right now, part two of this interview with Eon
Mosk and some bigger breaking news that we're going to
have for you about corruption the government will hit on
Wednesday morning, So make sure you get that subscribe or
auto download button right now, and again, please help this
show go viral so that we can continue to expose
government waste. Wherever you're on social media, hit that little
(35:34):
forward button and post this episode on social media and
I'll see you back here tomorrow.
Host
Ben Ferguson
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